Gulli Anant Nawalgaria Grace Mollison Technical Writer Joey Haymaker Designer Michael Lanning Introduction 6 Prompt engineering 7 LLM output configuration 8 Output length 8 Sampling controls 9 Temperature Document the various prompt attempts 64 Summary 66 Endnotes 68 Prompt Engineering February 2025 6 Introduction When thinking about a large language model input and output, a text prompt (sometimes accompanied de/dl-cd.html. 3. Google Cloud, 2023, Introduction to Prompting. Available at: https://cloud.google.com/vertex-ai/generative-ai/docs/learn/prompts/introduction-prompt-design. 4. Google Cloud, 2023, Text

Training costs and inference efficiency of DeepSeek 67B (Dense) and DeepSeek-V2. Contents 1 Introduction 4 2 Architecture 6 2.1 Multi-Head Latent Attention: Boosting Inference Efficiency . . . . . Data Debiasing 32 F Additional Evaluations on Math and Code 33 G Evaluation Formats 34 3 1. Introduction In the past few years, Large Language Models (LLMs) (Anthropic, 2023; Google, 2023; OpenAI, 2022

5 Agent design foundations 7 Guardrails 24 Conclusion 32 2 Practical guide to building agents Introduction Large language models are becoming increasingly capable of handling complex, multi-step tasks

26 / 32 LLM 的工具和平台：LLMOps LangChain 架构图 （图源：https://python.langchain.com/docs/get_started/introduction） �� LangChain 是一个帮助开发者使用 LLM 创建应用的开源框 架，它可以将 LLM 与外部数据源进行连接，并允许与 LLM 进行交互。 LangChain 于 2022

Rises’ applies to technology tipping points. The tipping point for personal computers was the introduction of Apple’s Macintosh (1984) and Microsoft’s Windows 3.0 (1990). With the Internet it was Netscape’s